Veterinary Survey on Animal Abuse by Falsification Awareness

Survey data from 88 veterinarians and veterinary technicians assessing awareness and recognition of Animal Abuse by Falsification (AAF). The dataset captures participant demographics, familiarity with AAF, estimated case frequency, and perceived indicators. Ineke R. van Herwijnen authored this research, which was last updated in April 2026.

Use Cases

• Analyze the correlation between participant_role (veterinarian vs. technician) and reported_familiarity_with_AAF using statistical tests.
• Model the likelihood_of_seeing_AAF_cases based on primary_animal_treated (companion vs. other animals) and previous_education_on_AAF status.
• Identify the most commonly reported client_behaviour_signs and animal_medical_signs perceived as indicative of AAF for risk profiling.
• Investigate barriers_to_reporting_AAF, such as lack_of_knowledge or identification_difficulty, across different participant subgroups.

Strengths

• Dataset provides specific metrics: 12% of 88 participants had prior AAF education, 83% reported familiarity with the phenomenon.
• Clear survey structure with defined participant groups (veterinarians, vet technicians/assistants) and response categories (likelihood scores, frequency estimates).
• Open CC-BY-4.0 license allows for academic and analytical reuse.

Limitations

• Small sample size of 88 participants limits statistical power and generalizability of findings.
• Geographic bias as the study was conducted in only one unspecified country.
• Self-reported survey data is subject to recall and social desirability biases.

Provenance

Source

figshare, authored by Ineke R. van Herwijnen.

Collection Method

Exploratory survey-based research addressed to veterinarians and veterinary technicians/assistants.

Time Range

Survey collection period not specified, dataset reflects a snapshot.

Freshness

Last updated in April 2026, indicating recent data management.

Geography

Country not specified; study engaged participants in only one country.